Do you have questions about Bounce Commerce? On this page you will find answers to frequently asked questions and problems. If you have any further questions, please feel free to contact us at any time.
The display of bounce commerce depends on the solutions used. With AI-based product recommendations, the ad is displayed as soon as a user wants to leave the advertiser’s online store via the back button in the browser. In this case, a redirection is triggered and the user-specific bounce commerce page with the advertiser’s AI product recommendations is displayed. This function is intended to incentivize users to return to the store and make a purchase based on the product recommendations. With other solutions, product recommendations can be displayed directly on the product page, for example. You can find more information in our Overview of the various solutions.
A good question that we often hear! The answer is almost always no, for two reasons:
Yes, we have the option of wildcard URL matches and redirection rules based on HTTP headers (referer, browser, language, etc.) and thus connection rules for redirections. This means that it is only possible to display the bounce commerce page with the product recommendations if a user came to the online store via the Google Shopping channel and then leaves it. Only in this case would the Bounce Commerce page be displayed. The disadvantage, however, is that potential is lost and there is a risk that users will leave the online shop via other channels and then possibly.
shop at the competition.
This pop-up – called an exit-intent pop-up – is designed to prevent the user from leaving the page. Bounce management only takes effect when you actually leave the page. So you reach the visitors who are already lost! There is another very important difference: bounce management also works on cell phones. Using the exit-intent pop-up alone means that more than half of the potential addresses are lost. With bounce management you win all speeches.
Our KI works completely without personal or traceable data. Our solution therefore represents a clear contrast to conventional product suggestion systems and KIs, which make their recommendations based on individual preferences. These systems try to recognize personal preferences and then suggest suitable products. We, on the other hand, take a different approach. Our product recommendations are based on the relationships between different products and are optimized by analyzing completely anonymous data such as click-through rates. We don’t track who clicks, only what is clicked. In this way, we can deliver results that are comparable to those of other systems that use personal data – and completely without personal data.
To determine similar products on the basis of artificial intelligence, we vectorize all relevant content using a large language model. This allows content to be assigned to several thousand topics at the same time and placed in relation to each other. An evening dress and a summer dress are thematically closer to each other than a dress and a gas grill. Our system is extremely flexible. We support several established Large Language Models (LLMs) such as Llama2, Mistral, Gemma, Notux and others. These models have different strengths, for example in certain topics or languages, so that we can select the optimum model for each customer. Based on this, we can use any fields from a customer’s product data feed. The results based on product names can be very different from those based on product descriptions. This allows us to find the best results quickly and easily without lengthy training. Finally, all KI suggestions can be further modified. Additional rules can exclude or include products from the result. The AI can also learn from the performance achieved and further automatically optimize the result with regard to various KPIs.
According to a DPD study, on average 62% of customers leave the shopping process. On average, we are able to guide 30% of visitors who leave back to the store and 10% of customers make a repeat purchase. The success of the follow-up page is of course very individual. However, we are happy to offer a trial month so that you can measure and test the effectiveness yourself! We have also received information from individual customers that in some cases over 50% of the customers referred are new customers, which is a high figure in affiliate marketing. When using voucher codes on the follow-up page, we have found that conversions can be increased by a further 30% with a discount code. You can find more success cases in our case studies.
Once tracking has been activated via the affiliate network’s master tag/container tag or the direct integration of the JavaScript code, no further changes need to be made on your site. There are 2 options for maintenance: a static and a dynamic rule set. With the static one, you simply tell us what you want to redirect to and we will set it up for you. With the dynamic one, you specify the redirection destination yourself in the JavaScript code.
No. The script is loaded “asynchronously” by default. This means that it has NO negative impact on the loading time of the page. Accordingly, the rendering (display) of the website is just as fast. Furthermore: the script is very small. Only 946 bytes are transferred. Execution is also very fast. As a rule, execution is around 400 ms. The AI variant has exactly the same technical specifications. There is therefore no difference in the loading time.
After a user has left the store, the Bounce Commerce follow-up page is displayed. Spam protection is then activated (default: 3 hours). This means that as soon as the user has been on the Bounce Commerce page once and then, for example, returns to the store and leaves the store again, they will no longer see the follow-up page for the duration of the spam protection, as you do not want to penetrate the user.
By default, Bounce Commerce’s product recommendations are displayed on the followup page, which is hosted by Bounce Commerce on its own server, e.g. https://advertisername.lp.bounce-page.de/ The advantages of hosting Bounce Commerce are:
However, it is also possible for the Bounce Commerce follow-up page to be hosted by the advertiser. For this we need SSH access to enable automatic deployment. Alternatively, it is also possible to redirect to a sub domain of the advertiser, e.g. to bounce.onlineshop.de, or to onlineshop.de/bounce/
The landing page of a large online fashion store was played out to 50% of users in an AB test. The result was that turnover and sales fell by exactly 50%. This suggests that users who were not shown the page did not return. In the testing, not only affiliate figures were analyzed, but across the board, and it also emerged that the sales had not shifted to the other channels, but were directly attributable to bounce commerce.
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